基于相邻互相关函数-参数化中心频率-调频率分布-Keystone变换的无源雷达机动目标相参积累方法

赵勇胜; 胡德秀; 刘智鑫; 赵拥军; 赵闯

doi:10.11999/JEIT180858

基于相邻互相关函数-参数化中心频率-调频率分布-Keystone变换的无源雷达机动目标相参积累方法

doi: 10.11999/JEIT180858

解放军战略支援部队信息工程大学数据与目标工程学院郑州 450001

基金项目: 国家自然科学基金(61703433)

详细信息

作者简介:
赵勇胜：男，1990年生，博士生，研究方向为无源雷达信号处理

胡德秀：男，1983年生，讲师，研究方向为无源定位、信号分析与处理

刘智鑫：男，1991年生，博士生，研究方向为辐射源定位、电子侦察等

赵拥军：男，1964年生，教授、博士生导师，研究方向为雷达信号处理

赵闯：男，1978年生，副教授，研究方向为雷达信号处理

通讯作者:
胡德秀　paper_hdx@126.com

中图分类号: TN971
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出版历程
- 收稿日期: 2018-09-03
- 修回日期: 2019-08-01
- 网络出版日期: 2019-08-21
- 刊出日期: 2019-10-01

Coherent Integration Algorithm Based on Adjacent Cross Correlation Function-Parameterized Centroid Frequency-Chirp Rate Distribution -Keystone Transform for Maneuvering Target in Passive Radar

School of Data and Target Engineering, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China

Funds: The National Natural Science Foundation of China (61703433)

摘要

摘要: 延长积累时间可以有效提高无源雷达的目标探测能力，但是对于高速机动目标，其速度、加速度、第二加速度等因素导致现有的检测算法在积累过程中发生距离徙动(RM)和多普勒频率徙动(DFM)，使得目标检测性能恶化。该文针对无源雷达中变加速运动目标的长时间相参积累问题，提出一种基于相邻互相关函数(ACCF)-参数化中心频率-调频率分布(PCFCRD)-Keystone变换(KT)的相参积累算法(ACCF-PCFCRD-KT)。首先给出无源雷达中变加速运动目标的回波模型，分析了目标速度、加速度和第二加速度对相参积累的影响。针对目标第二加速度引起的多普勒频率弯曲，采用ACCF降低了距离和多普勒频率徙动的阶数，而后利用PCFCRD估计出目标加速度和第二加速度参数，在补偿了目标加速度和第二加速度引起的2次和3次徙动后，利用KT校正目标速度引起的线性徙动，并实现目标回波的积累。仿真结果表明，该算法可有效补偿无源雷达中目标运动导致的RM和DFM，对变加速机动目标的积累效果显著优于现有算法。
- 无源雷达 /
- 相参积累 /
- 机动目标 /
- 相邻互相关函数 /
- 参数化中心频率调频斜率分布 /
- Keystone变换
Abstract: Increasing the integration time can effectively improve the detection performance of passive radar. However, for maneuvering targets, the complex motions, such as high velocity, acceleration and jerk, cause existing detection methods to suffer the Range Migration (RM) and Doppler Frequency Migration (DFM) during the integration time, which deteriorates the detection performance. This paper addresses the long time coherent integration for a maneuvering target with high-order motion (e.g., jerk motion) in passive radar systems. A method based on Adjacent Cross Correlation Function (ACCF), Parameterized Centroid Frequency-Chirp Rate Distribution (PCFCRD) and Keystone Transform (KT)(ACCF-PCFCRD-KT), is proposed. Firstly, the signal model for the maneuvering targets is given, and the influence of the target velocity, acceleration and jerk on the coherent integration is analyzed. For the Doppler curvature induced by the jerk motion, the ACCF is firstly applied to reducing the order of RM and DFM. Then the PCFCRD operation is employed to estimate the acceleration and jerk parameters. After compensating the RM and DFM caused by the acceleration and jerk, the RM arising from the velocity is corrected via the KT operation and the target echo energy is coherently integrated. Simulation results demonstrate that the proposed method can effectively compensate the RM and DFM caused by the target motion parameters in passive radar, and for a maneuvering target with jerk motion, the proposed method achieves better integration performance over the existing methods.
- Passive radar /
- Coherent integration /
- Maneuvering target /
- Adjacent Cross Correlation Function (ACCF) /
- Parameterized Centroid Frequency-Chirp Rate Distribution (PCFCRD) /
- Keystone Transform (KT)

HTML全文

图 1 双基地无源雷达目标运动示意图

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图 2 本文算法对回波积累效果

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图 3 不同算法回波积累效果比较

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图 4 不同算法的检测性能曲线(${P_{\rm f}} = {10^{ - 4}}$)

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参考文献(20)

ZAIMBASHI A. Target detection in analog terrestrial TV-based passive radar sensor: joint delay-Doppler estimation[J]. IEEE Sensors Journal, 2017, 17(17): 5569–5580. doi: 10.1109/JSEN.2017.2725822

ZHAO Yongsheng, ZHAO Yongjun, and ZHAO Chuang. A novel algebraic solution for moving target localization in multi-transmitter multi-receiver passive radar[J]. Signal Processing, 2018, 143: 303–310. doi: 10.1016/j.sigpro.2017.09.014

WANG Yasen, BAO Qinglong, WANG Dinghe, et al. An experimental study of passive bistatic radar using uncooperative radar as a transmitter[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(9): 1868–1872. doi: 10.1109/LGRS.2015.2432574

OLSEN K E and ASEN W. Bridging the gap between civilian and military passive radar[J]. IEEE Aerospace and Electronic Systems Magazine, 2017, 32(2): 4–12. doi: 10.1109/MAES.2017.160030

GASSIER G, CHABRIEL G, BARRÈRE J, et al. A unifying approach for disturbance cancellation and target detection in passive radar using OFDM[J]. IEEE Transactions on Signal Processing, 2016, 64(22): 5959–5971. doi: 10.1109/TSP.2016.2600511

COLONE F, O'HAGAN D W, LOMBARDO P, et al. A multistage processing algorithm for disturbance removal and target detection in passive bistatic radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2009, 45(2): 698–722. doi: 10.1109/TAES.2009.5089551

HIGGINS T, WEBSTER T, and MOKOLE E L. Passive multistatic radar experiment using WiMAX signals of opportunity. Part 1: Signal processing[J]. IET Radar, Sonar & Navigation, 2016, 10(2): 238–247. doi: 10.1049/iet-rsn.2015.0020

ZHU Daiyin, LI Yong, and ZHU Zhaoda. A Keystone transform without interpolation for SAR ground moving-target imaging[J]. IEEE Geoscience and Remote Sensing Letters, 2007, 4(1): 18–22. doi: 10.1109/LGRS.2006.882147

YU Ji, XU Jia, PENG Yingning, et al. Radon-Fourier transform for radar target detection (III): Optimality and fast implementations[J]. IEEE Transactions on Aerospace and Electronic Systems, 2012, 48(2): 991–1004. doi: 10.1109/TAES.2012.6178044

RAO Xuan, TAO Haihong, SU Jia, et al. Detection of constant radial acceleration weak target via IAR-FRFT[J]. IEEE Transactions on Aerospace and Electronic Systems, 2015, 51(4): 3242–3253. doi: 10.1109/TAES.2015.140739

LI Xiaolong, CUI Guolong, YI Wei, et al. Radar maneuvering target detection and motion parameter estimation based on TRT-SGRFT[J]. Signal Processing, 2017, 133: 107–116. doi: 10.1016/j.sigpro.2016.10.014

MALANOWSKI M. Detection and parameter estimation of manoeuvring targets with passive bistatic radar[J]. IET Radar, Sonar & Navigation, 2012, 6(8): 739–745. doi: 10.1049/iet-rsn.2012.0072

关欣, 胡东辉, 仲利华, 等. 一种高效的外辐射源雷达高径向速度目标实时检测方法[J]. 电子与信息学报, 2013, 35(3): 581–588. doi: 10.3724/SP.J.1146.2012.00903

GUAN Xin, HU Donghui, ZHONG Lihua, et al. An effective real-time target detection algorithm for high radial speed targets in passive radar[J]. Journal of Electronics &Information Technology, 2013, 35(3): 581–588. doi: 10.3724/SP.J.1146.2012.00903

杨金禄, 单涛, 陶然. 数字电视辐射源雷达的相参积累徙动补偿方法[J]. 电子与信息学报, 2011, 33(2): 407–411. doi: 10.3724/SP.J.1146.2010.00414

YANG Jinlu, SHAN Tao, and TAO Ran. Method of migration compensation in coherent integration for digital TV based passive radar[J]. Journal of Electronics &Information Technology, 2011, 33(2): 407–411. doi: 10.3724/SP.J.1146.2010.00414

杨宇翔, 同武勤, 熊瑾煜. 一种无源雷达高速机动目标检测新方法[J]. 电子与信息学报, 2014, 36(12): 3008–3013. doi: 10.3724/SP.J.1146.2013.01984

YANG Yuxiang, TONG Wuqin, and XIONG Jinyu. A novel algorithm for detection of a maneuvering target in passive radar[J]. Journal of Electronics &Information Technology, 2014, 36(12): 3008–3013. doi: 10.3724/SP.J.1146.2013.01984

XU Jia, ZHOU Xu, QIAN Lichang, et al. Hybrid integration for highly maneuvering radar target detection based on generalized radon-fourier transform[J]. IEEE Transactions on Aerospace and Electronic Systems, 2016, 52(5): 2554–2561. doi: 10.1109/TAES.2016.150076

LI Yachao, XING Mengdao, SU Junhai, et al. A new algorithm of ISAR imaging for maneuvering targets with low SNR[J]. IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(1): 543–557. doi: 10.1109/TAES.2013.6404119

LI Xiaolong, CUI Guolong, YI Wei, et al. A fast maneuvering target motion parameters estimation algorithm based on ACCF[J]. IEEE Signal Processing Letters, 2015, 22(3): 270–274. doi: 10.1109/LSP.2014.2358230

ZHENG Jibin, LIU Hongwei, and LIU Qinghuo. Parameterized centroid frequency-chirp rate distribution for LFM signal analysis and mechanisms of constant delay introduction[J]. IEEE Transactions on Signal Processing, 2017, 65(24): 6435–6446. doi: 10.1109/TSP.2017.2755604

MALANOWSKI M, KULPA K, KULPA J, et al. Analysis of detection range of FM-based passive radar[J]. IET Radar, Sonar & Navigation, 2014, 8(2): 153–159. doi: 10.1049/iet-rsn.2013.0185

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